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Compressive sensing with unknown parameters
Marco Rossi
,
Alexander M. Haimovich
, Yonina C. Eldar
Electrical and Computer Engineering
The Elisha Yegal Bar-Ness Center for Wireless Information Processing
Research output
:
Chapter in Book/Report/Conference proceeding
›
Conference contribution
10
Scopus citations
Overview
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Keyphrases
Additive White Gaussian Noise
33%
Branch Matching
66%
Compressed Sensing
100%
Compressive Sensing Radar
33%
False Alarm Rate
66%
Finite Data
33%
Fully Adaptive
33%
Matching Pursuit Algorithms
66%
Measurement Matrix
33%
MIMO Radar
33%
Multi-branch
66%
Multiple Measurement Vectors
33%
Numerical Simulation
33%
Radar Array
33%
Radar Measurements
33%
Sensing Algorithm
33%
Spatial Domain
33%
Target Detection
100%
Target Localization
33%
Undersampling
33%
Engineering
Additive White Gaussian Noise
25%
Compressive Sensing
100%
Computer Simulation
25%
Detection Probability
25%
False Alarm
25%
Matching Pursuit
50%
Measurement Matrix
25%
MIMO Radar
25%
Multiple Measurement Vector
25%
Pursuit Algorithm
50%
Radar Measurement
25%
Sensing Algorithm
25%
Spatial Domain
25%
Target Localization
25%
Target Tracking
75%